Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II / Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty (eds.)
The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628...
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Full Text (via Springer) |
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| Other Authors: | , , , , , , |
| Other title: | PAKDD 2021. |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2021.
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| Series: | Lecture notes in computer science ;
12713. LNCS sublibrary. Artificial intelligence. Lecture notes in computer science. Lecture notes in artificial intelligence. |
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Table of Contents:
- Classical Data Mining,. Mining Frequent Patterns from Hypergraph Databases
- Discriminating Frequent Pattern based Supervised Graph Embedding for Classification
- Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure
- Similarity Forest Revisited: a Swiss Army Knife for Machine Learning
- Discriminative Representation Learning for Cross-domain Sentiment Classification
- SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification
- Hierarchical Learning of Dependent Concepts for Human Activity Recognition
- Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge
- A Novel Method for Offline Handwritten Chinese Character Recognition under the Guidance of Print
- Upgraded Attention-based Local FeatureLearning Block for speech emotion recognition
- Memorization in Deep Neural Networks: Does the Loss Function matter
- Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
- Efficient Nodes Representation Learning with Residual Feature Propagation
- Progressive AutoSpeech: An efficient and general framework for automatic speech classification
- CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
- Effective and Adaptive Multi-metric Refined Similarity Graph Fusion for Multi-view Clustering
- aHCQ: Adaptive Hierarchical Clustering based Quantization Framework for Deep Neural Networks
- Maintaining Consistency with Constraints: a Constrained Deep Clustering method
- Data Mining Theory and Principles
- Towards multi-label Feature selection by Instance and Label Selections
- FARF: A Fair and Adaptive Random Forests Classifier
- Sparse Spectrum Gaussian Process for Bayesian Optimization
- Densely Connected Graph Attention Network based on Iterative Path Reasoning for Document-level Relation Extraction
- Causal Inference Using Global Forecasting Models for Counterfactual Prediction. -CED-BGFN: Chinese Event Detection via Bidirectional Glyph-aware Dynamic Fusion Network
- Learning Finite Automata with Shuffle
- Active Learning based Similarity Filtering for Efficient and Effective Record Linkage
- Stratified Sampling for Extreme Multi-Label Data
- Vertical Federated Learning for Higher-order Factorization Machines
- dK-Projection: Publishing Graph Joint degree distribution with Node Differential Privacy
- Recommender Systems
- Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
- Exploring Implicit Relationships in Social Network for Recommendation Systems
- Transferable Contextual Bandits with Prior Observations
- Modeling Hierarchical Intents and Selective Current Interest for Session-based Recommendation
- A Finetuned language model for Recommending cQA-QAs for enriching Textbooks
- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
- Learning Multiclass Classifier Under Noisy Bandit Feedback
- Diversify or Not: Dynamic Diversification for Personalized Recommendation
- Multi-criteria and Review-based Overall Rating Prediction
- W2FM: The Doubly-Warped Factorization Machine
- Causal Combinatorial Factorization Machines for Set-wise Recommendation
- Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation
- Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation
- Box4Rec: Box Embedding for Sequential Recommendation
- UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering
- IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
- Nonlinear Matrix Factorization via Neighbor Embedding
- Deconfounding representation learning based on user interactions in Recommendation Systems
- Personalized Regularization Learning for Fairer Matrix Factorization
- Instance Selection for Online Updating in Dynamic Recommender Environments
- Text Analytics
- Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. - TSSE-DMM: Topic Modeling for Short Texts based on Topic Subdivision and Semantic Enhancement
- SILVER: Generating Persuasive Chinese Product Pitch
- Capturing SQL Query Overlapping via SubtreeCopy for Cross-domain Context-dependent SQLGeneration
- HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification
- PLVCG: A Pretraining Based Model for Live Video Comment Generation
- Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction
- Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking
- TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training
- Semantic-syntax Cascade Injection Model for Aspect Sentiment Triple Extraction
- Modeling Inter-Aspect Relationship with Conjunction for Aspect-based Sentiment Analysis.